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Regina H Reynolds
Molecular biologist turned bioinformatician, with experience translating large-scale omics data into actionable insights for drug discovery. I’ve led cross-functional analyses across transcriptomics, genomics, and functional screens, collaborating closely across teams to build reproducible pipelines that support impactful R&D decisions. I’m driven by a commitment to scientific rigour, integrity, and transparency — and by a broader desire to make a meaningful contribution to the world through thoughtful, data-driven science.
Work experience
Lead Computational Biologist
CoSyne Therapeutics
London, UK
Present - 2022
- Provide scientific and strategic leadership as lead of a 5-person computational biology team, translating high-level objectives into clear milestones and actionable plans, managing tight deadlines and resources, and setting research priorities in collaboration with team members, experimental, engineering, and AI teams, and senior leadership.
- Drive company-wide ’omics initiatives spanning whole-genome sequencing, transcriptomics and CRISPRi screens to support target discovery in glioblastoma multiforme.
- Establish scalable, robust, and reproducible computational workflows through adoption of tools such as Nextflow and Seqera Cloud for workflow orchestration, Docker for containerisation, R targets for reproducible exploratory data analysis, and Cruft templates for project scaffolding.
- Contribute to shaping company culture through line management; growing the computational biology team from 2 to 5 people; active involvement in recruitment across multiple teams; and contributing to the development of CoSyne’s personal development framework.
Honorary Senior Research Fellow
University College London
London, UK
2025 - 2022
- Acted as secondary supervisor to a PhD student and served on the thesis committee for another. Additionally contributed to analyses and provided input on papers across multiple research projects.
Research Fellow
University College London
London, UK
2022 - 2021
- Lead analyst involved in processing and analysing transcriptomic data to identify molecular signatures of Parkinson’s disease progression. Worked within a large, multi-PI team and coordinated with researchers to align analytical approaches. Work performed using R, Nextflow, and Docker.
- Co-lead of Code and Pipeline Alignment Working Group in the Aligning Sciences Across Parkinson’s initiative, facilitating the standardisation of data processing pipelines and coding practices across 10 international research teams, resulting in actionable recommendations to enhance data harmonisation and enable meta-analysis of post-mortem brain tissue datasets.
- Published 1 co-first author research article.
Research Assistant
University of Copenhagen
Copenhagen, Denmark
2016 - 2016
- Led project exploring the interactions between miR-34a, Sirt1 and p53 in a Huntington’s disease mouse model, serving as lead experimentalist and analyst; work culminated in a first author publication.
- In addition to these roles, facilitated collaboration with another research group and coordinated experiments with lab technicians, students, and researchers to support project goals.
Education
PhD, Bioinformatics
University College London
London, UK
2021 - 2016
- Thesis: Exploring the importance of cell-type-specific gene expression regulation and splicing in Parkinson’s disease.
- Integrated GWAS summary statistics with bulk/single-cell transcriptomic, eQTL, and chromatin accessibility data to identify cell-type-specific regulatory mechanisms in Parkinson’s disease. Methods used included partitioned heritability, COLOC, and MAGMA.
- Applied transcriptomic methods, including cell-type deconvolution, differential splicing analysis, and RNA-binding protein motif analysis, to investigate splicing alterations and their relevance to Lewy body diseases.
- Published 3 first/co-first author research articles and 1 first author review. Successfully secured £10,000 from Signe og Peter Gregersens Mindefond to undertake transcriptional profiling of Parkinson’s disease brain tissue.
MSc, Molecular Biomedicine
University of Copenhagen
Copenhagen, Denmark
2016 - 2014
- Thesis: Changes in the miR-34a-SIRT1 axis in Huntington’s disease
- Grade: A (92.5%)
BSc, Molecular Biomedicine
University of Copenhagen
Copenhagen, Denmark
2013 - 2010
- Thesis: Pro-apoptotic factors in Huntington’s disease: a study in the R6/2 transgenic mouse model
- Grade: A (96.7%)
Teaching experience
Subsidiary PhD Supervisor
University College London
London, UK
2025 - 2021
- Secondary supervisor to Dr. Aaron Wagen. Provided support around transcriptomic analyses, bioinformatics workflows and statistical genetics.
R fundamentals with Clinician Coders
University College London
London, UK
2022 - 2019
- Developed materials and led workshops teaching basic R and tidy data principles to clinical academics.
Omics Techniques
King’s College London
London, UK
2019 - 2017
- Lectured graduate level students on the principles of genome-wide association studies and led a workshop on how/why to use the Genotype-Tissue Expression portal.
Voluntary Work
Mentor
London, UK
2022 - 2017
- Mentored 4 A-level students looking to work in the field of biomedical research.
Key publications
A full list of publications is available online at https://rhreynolds.github.io/cv
Local genetic correlations exist among neurodegenerative and neuropsychiatric diseases
NPJ Parkinson’s disease
N/A
2023
- Reynolds, RH, Wagen, AZ, Lona-Durazo, F, Scholz, SW, Shoai, M, Hardy, J, Gagliano Taliun, SA, Ryten, M
- Role: Co-first author, lead analyst and corresponding author.
- Analysis of local genetic correlations between neurodegenerative and neuropsychiatric disorders, with the aim of identifying genomic regions and genes that may drive pleiotropy.
Cross-platform transcriptional profiling identifies common and distinct molecular pathologies in Lewy body disorders
Acta Neuropathologica
N/A
2021
- Feleke, R, Reynolds, RH, Smith, A, Tilley, B, Gagliano Taliun, SA, Hardy, J, Matthews, PM, Gentleman, S, Owen , D, Johnson, MR, Srivastava, P, Ryten, M
- Role: Co-first author and analyst.
- Transcriptomic analysis of cell-type-specific changes in the Lewy body diseases.
Informing disease modelling with brain-relevant functional genomic annotations
Brain
N/A
2019
- Reynolds, RH, Hardy, J, Ryten, M, Gagliano Taliun, SA
- Role: First author.
- Review of conceptual advances in the generation of brain-relevant functional genomic annotations and among tools that allow integration of these annotations with genome-wide association summary statistics.
Moving beyond neurons: the Role of cell type-specific gene regulation in Parkinson’s disease heritability
NPJ Parkinson’s disease
N/A
2019
- Reynolds, RH, Botía, JA, Nalls, MA, International Parkinson’s Disease Genomic Consortium (IPDGC), System Genomics of Parkinson’s Disease (SGPD), Hardy, J, Gagliano Taliun, SA, Ryten, M
- Role: First author and lead analyst.
- Analysis of Parkinson’s disease common variation, with the aim of identifying cell types and pathways of importance to disease risk.
Conferences
AD/PD, Alzheimer’s & Parkinson’s Diseases Conference
N/A
Hybrid event
2022
- Talk: Identifying genetic correlations among neurodegenerative and neuropsychiatric diseases
Genomics of Brain Disorders
N/A
Virtual event
2021
- Talk: Dysregulation of splicing in human brain from individuals with Lewy body disease informs disease mechanisms
International Parkinson’s Disease Genomics Consortium
N/A
London, UK
2019
- Talk: Pairing bulk and single-nuclear RNA-seq to identify dementia-related pathways in PD
AD/PD, Alzheimer’s & Parkinson’s Diseases Conference
N/A
Lisbon, Portugal
2019
- Talk: Mapping Parkinson’s disease heritability to specific brain cell types
- Received mention in a blog post on Alzforum.
International Parkinson’s Disease Genomics Consortium
N/A
Reykjavik, Iceland
2018
- Talk: Moving beyond neurons: exploring the importance of cell type-specific gene expression in Parkinson’s disease